Kai Sheng Tai

Natural Language Processing · 2015

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 427 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Sheng Tai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Richard Socher
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yoshua Bengio
  5. Alex Graves
  6. Alex Krizhevsky
  7. Nitish Srivastava
  8. Jeffrey L. Elman
  9. Sepp Hochreiter
  10. Christopher D. Manning

Who trusts Kai Sheng Tai overall

  1. Yoon Kim
  2. Samuel R. Bowman
  3. Mohit Bansal
  4. Zhe Gan
  5. Yoav Goldberg
  6. Xinyun Chen
  7. Shuohang Wang
  8. Hua He
  9. Tao Shen
  10. Graham Neubig

Papers from Kai Sheng Tai's perspective

Ordered by how strongly the researchers Kai Sheng Tai trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers